Variability of ventricular premature complexes and mortality risk

Georg Schmidt, Gregor E. Morfill, Petra Barthel, Martin Hadamitzky, Heinz Kreuzberg, Valentin Demmel, Raphael Schneider, Kurt Ulm, Albert Schömig

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

A method using a parameter from the field of nonlinear dynamics to quantify the variability of ventricular premature complexes (VPCs) is presented. One hundred patients with coronary artery disease and ≥ VPCs/hour were included in the study. The RR intervals were plotted in a three- dimensional artificial phase space, and the structures in phase space were quantified by the local scaling indices, α. In the frequency distribution histogram, n(α), for each patient, the maximum of the ventricular ectopies α(VPC), adjusted to the VPC frequency, was assessed; α(VPC) was used as the risk indicator. Endpoints were total mortality and sudden cardiac death. During follow-up (mean 3.1 years), 28 out of 100 patients died, 16 suddenly; α(VPC) had a significant prognostic impact and was independent from other risk indicators, such as left ventricular ejection fraction (LVEF). Patients who died during follow-up were characterized by a high α(VPC). The optimal discrimination of high risk patients and low risk patients occurred at α(VCP) = 3.0. After 4 years, the survival rate of patients with a α(VPC) > 3.0 was 59%, in contrast to 97% in patients with α(VCP) ≤ 0.3. As to the sudden death mortality, the survival rates were 74% and 97%, respectively. The difference between the groups were significant for both endpoints. Patients with an increased VPC variability (i.e., α(VPC) > 3.0) were at enhanced risk of sudden death and total mortality risk; α(VPC) was independent from other risk indicators such as the LVEF or heart rate variability parameters.

Original languageEnglish
Pages (from-to)976-980
Number of pages5
JournalPacing and Clinical Electrophysiology
Volume19
Issue number6
DOIs
StatePublished - 1996

Keywords

  • VPC variability
  • coronary heart disease
  • mortality
  • nonlinear dynamics
  • sudden death

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